Simple Arbitrage. Motivated by and partly based on a joint work with T. Sottinen and E. Valkeila. Christian Bender. Saarland University
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1 Simple Arbitrage Motivated by and partly based on a joint work with T. Sottinen and E. Valkeila Saarland University December, 8, 2011
2 Problem Setting Financial market with two assets (for simplicity) on [0, T ]: constant bond B t = 1, a stock X t (adapted process with continuous paths). Simple strategy (number of risky shares held by the investor): n 1 Φ t = φ 0 1 {0} (t) + φ j 1 (τj,τ j+1 ] where the τ j s are a finite number of ordered stopping times with values in [0, T ] and the φ j s are F τj -measurable random variables. j=0 Corresponding wealth process with zero initial endowment: n 1 V t (Φ) = Φ τj+1 (X t τj+1 X t τj ) j=0
3 Problem Setting A simple arbitrage is a simple strategy which is an arbitrage: Questions: V T (Φ) 0 P-a.s., P({V T (Φ) > 0}) > 0 How to characterize absence of simple arbitrage? What kind of easy sufficient conditions are available for absence of arbitrage (for large subclasses of) simple strategies? Motivation: How about simple arbitrage for models driven by fractional Brownian motion?
4 Conditional full support A continuous process S has conditional full support (CFS) if, for every time 0 t T supp P(S F S t ) = C St ([t, T ]) a.s., where F S denotes the augmented filtration generated by S. Examples: Fractional Brownian motion B H satisfies conditional full support for every choice of the Hurst parameter 0 < H < 1 and so does mixed fractional Brownian motion B H + W, where W is a Brownian motion independent of W. Cf. Cherny (2008) or Gasbarra, Sottinen, van Zanten (2011).
5 A criterion based on conditional full support Theorem (B./Sottinen/Valkeila, 2011) Suppose log(x t ) or X t satisfies (CFS). If the simple strategy Φ belongs to the Cheridito class, i.e. τ j+1 τ j + h for some constant h > 0 on {τ j+1 > τ j }, then Φ is not a simple arbitrage for (X t, F X t ). Remark: The delay between two stopping times can be localized in a way that e.g. stopping times of the form τ j+1 = inf{t > τ j ; X t X τj b j t} T for positive continuous functions b j are covered, and the above theorem still holds.
6 A criterion based on conditional full support Example Suppose X t = exp{w t + t α } for some 0 < α < 1/2. Then clearly, log(x t ) satisfies (CFS). Define the stopping time τ := inf{t > 0; log(x t ) < 0} > 0 by the law of the iterated logarithm. Then, Φ t = 1 (0,τ 1/N] is a simple arbitrage for sufficiently large N. Note that this arbitrage is 0-admissible, i.e. V t (Φ) 0 a.s.
7 No obvious arbitrage In the spirit of Guasoni, Rasonyi, Schachermayer (2010): (X t, F t ) has no obvious arbitrage (NOA), if for all stopping times σ with P({σ < T }) > 0 and every ɛ > 0 and P({σ < T } { sup X t < X σ + ɛ}) > 0 t [σ,t ] P({σ < T } { inf t [σ,t ] X t > X σ ɛ}) > 0 If (NOA) is violated, e.g. there are σ, ɛ such that P({ sup X t X σ + ɛ} {σ < T }) = 1, t [σ,t ] then a simple arbitrage can be obtained by buying one share at time σ and selling it, once the stock price has increased by ɛ.
8 No obvious arbitrage If X has (CFS), then (X t, F X t ) satisfies (NOA), because the (CFS)-property extends automatically to stopping times, see Guasoni, Rasonyi, Schachermayer (2008). Lemma (X t, F t ) has (NOA) Every simple arbitrage for (X t, F t ) is 0-admissible. Idea: Suppose a simple arbitrage is not 0-admissible. Then its wealth process drops with positive probability below some level δ. Buying this strategy at such a time, the wealth process must increase by δ (because it is nonnegative at time T ). This gives rise to an obvious arbitrage.
9 Two-way crossing Lemma Question: How to exclude 0-admissible simple arbitrage? Suppose σ T is a stopping time and σ ± = inf{t σ, ±(X t X σ ) > 0} T. (X t, F t ) satifies two-way crossing (TWC), if σ + = σ a.s. for any stopping time σ T. (TWC) is a condition on the fine structure of the paths. Whenever the stock price moves from X σ, it will cross the level X σ infinitely often in time intervals of length ɛ for every ɛ > 0. (X t, F t ) satifies (TWC) (X t, F t ) is free of 0-admissible simple arbitrage.
10 A characterization of simple arbitrage Theorem The following assertion are equivalent: (i) (X t, F t ) has no simple arbitrage. (ii) (X t, F t ) satisfies (NOA) and (TWC).
11 A sufficient condition for (TWC) Theorem Suppose X t = M t + Y t, where M is continuous (F t )-local martingale and Y t is an (F t )-adapted process. We assume: 1) There is a strictly positive random variable ɛ such that for every 0 s t T M t M s ɛ(t s). 2) Y is 1/2-Hölder continuous, i.e. there is a positive random variable C such that for every 0 s t T Then, (X t, F t ) satisfies (TWC). Y t Y s C t s 1/2.
12 Example 1: Mixed fractional Black-Scholes model Suppose X t = x 0 exp{σb H t + ηw t + a(t)} where σ, η > 0, B H is a fractional Brownian motion with Hurst parameter H > 1/2, W is a Brownian motion independent of B H and a(t) is a deterministic 1/2-Hölder continuous function, e.g. a(t) = µt Hσ 2 t 2H 0.5η 2 t. Then, log(x t ) = M t + Y t ; M t = ηw t, Y t = log(x 0 ) + a(t) + σb H t. (log(x t ), F X t ) satisfies (NOA) (because it has conditional full support) and (TWC) (because Y is 1/2-Hölder continuous). Consequently (log(x t ), F X t ) is free of simple arbitrage and so is (X t, F X t ).
13 Example 2: Multi-asset mixed Black-Scholes model Theorem Suppose (W t, F t ) is an N-dimensional Brownian motion and Z t is a D-dimensional F t -adapted process independent of W, which is α-hölder continuous for some α > 1/2. Further assume that the matrix σσ is strictly positive definite, where σ = (σ d,ν ) d=1,...,d, ν=1,...,n. Define D stocks by X d t = x d 0 exp { N ν=1 σ d,ν W ν t + Z d t with initial values x0 d > 0 for d = 1,..., D. Then, the D-dimensional mixed Black-Scholes model (X t, F t ) with X t = (Xt 1,..., Xt D ) is free of simple arbitrage on [0, T ]. }
14 More examples... One can also treat: 1-dimensional mixed stochastic volatility models (e.g. mixed Heston models) 1-dimensional mixed local volatility models. Then, (CFS) for the log-prices can be derived from a result by Pakkanen (2010) under suitable conditions and (TWC) follows from the above sufficient condition under suitable conditions.
15 A question Does fractional Brownian motion satisfy (TWC)?
16 References Cheridito, P. (2003) Arbitrage in fractional Brownian motion models. Finance Stoch. 7, Cherny, A. (2008) Brownian moving averages have conditional full support. Ann. Appl. Probab. 18, Gasbarra, D., Sottinen, T., and van Zanten, H. (2011) Conditional full support of Gaussian processes with stationary increments. J. Appl. Probab. 48, Guasoni, P., Rasonyi, M., and Schachermayer, W. (2008) Consistent price systems and face-lifting pricing under transaction costs. Ann. Appl. Probab. 18, Guasoni, P., Rasonyi, M., and Schachermayer, W. (2010) The fundamental theorem of asset pricing for continuous processes under small transaction costs. Ann. Finance 6, Pakkanen, M. S. (2010) Stochastic integrals and conditional full support. J. Appl. Probab. 47,
17 Thank you for your attention This talk was based on: Bender, C., Sottinen, T., and Valkeila, E. (2011) Fractional processes as models in stochastic finance. In: Di Nunno, Øksendal (eds.), AMaMeF: Advanced Mathematical Methods for Finance. Bender, C. (2011) Simple Arbitrage, Ann. Appl. Probab., forthcoming.
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